化工装备技术2024,Vol.45Issue(5) :8-11.DOI:10.16759/j.cnki.issn.1007-7251.2024.10.003

基于焊缝裂纹检测的模糊缺陷图像恢复研究

Research on Fuzzy Defect Image Restoration Based on Weld Crack Detection

童亚龙 刘玉琢 于永亮 杨志军 陈亮
化工装备技术2024,Vol.45Issue(5) :8-11.DOI:10.16759/j.cnki.issn.1007-7251.2024.10.003

基于焊缝裂纹检测的模糊缺陷图像恢复研究

Research on Fuzzy Defect Image Restoration Based on Weld Crack Detection

童亚龙 1刘玉琢 1于永亮 1杨志军 1陈亮1
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作者信息

  • 1. 南京市锅炉压力容器检验研究院 江苏省市场监督管理重点实验室
  • 折叠

摘要

磁粉检测是碳钢原件表面和近表面最有效的无损检测手段,在复杂工况下,自动化磁粉检测技术仍然存在缺陷图像模糊、缺陷识别率低和误报等问题.针对裂纹图像采集过程中出现的模糊问题,建立匀速直线运动图像退化模型,求解运动模糊方向和尺度,采用逆滤波、维纳滤波和Richardson-Lucy 3种恢复方法进行恢复,结果证明采用Richardson-Lucy恢复方法可以较好的改善磁粉检测图像采集过程中存在的运动模糊现象.

Abstract

Magnetic particle testing is the most effective non-destructive testing method for the surface and near surface of carbon steel components.Under complex working conditions,automated magnetic particle testing technology still faces problems such as blurry defect images,low defect recognition rates,and false alarms.A uniform linear motion image degradation model was established to address the blurring issue during crack image acquisition.The direction and scale of motion blur were solved,and three restoration methods,namely inverse filtering,Wiener filtering,and Richardson Lucy,were used for restoration.The results showed that the Richardson Lucy restoration method could effectively improve the motion blur phenomenon in the image acquisition process of magnetic particle testing.

关键词

图像恢复/运动模糊/Richardson-Lucy

Key words

Image restoration/Motion blur/Richardson-Lucy

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基金项目

江苏省市场监督管理局科技计划项目(KJ21125056)

南京市市场监督管理局科技项目(KJ2022034)

出版年

2024
化工装备技术
上海市化工科学技术情报研究所

化工装备技术

影响因子:0.226
ISSN:1007-7251
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